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Related Questions
- What are the primary techniques used for model compression in LLMs?
- How does knowledge distillation contribute to model compression in LLMs?
- What is the role of quantization in reducing the size of LLMs without compromising performance?
- Can you explain the concept of pruning in the context of model compression for LLMs?
- How does model compression impact the inference speed of LLMs?
- What are the trade-offs between model compression and model accuracy in LLMs?
- Can model compression be applied to both pre-trained and fine-tuned LLMs?
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